Daloopa, a provider of structured financial data, has successfully raised $47 million in Series C funding, led by Brighton Park Capital, with participation from Squarepoint Capital, Touring Capital, and Nexus Venture Partners. The funding round, announced on May 28, 2026, aims to enhance Daloopa's data infrastructure, positioning the company to better support AI-driven financial workflows as investment firms transition from experimental to production environments.
Daloopa's platform is designed to address the critical need for accurate and auditable financial data, which is essential for the effective deployment of AI systems within the financial services sector. The company offers a comprehensive dataset covering over 5,500 public companies globally, providing up to ten times more data points per company compared to other providers. Each data point is linked to its original source, ensuring reliability and facilitating accurate analysis in high-stakes financial scenarios such as valuation and portfolio modeling.
The recent funding will enable Daloopa to accelerate its growth and expand its team across engineering, product development, and market outreach. As firms increasingly rely on AI tools for financial analysis, the demand for structured and reliable data has become paramount. Daloopa's solution mitigates the common pitfalls associated with web-sourced data, which often lacks standardization and traceability, thereby enhancing the accuracy of AI-generated insights. The company has also made strides in integrating its data with popular AI platforms, further embedding its services into the financial research ecosystem.
This capital infusion follows a series of significant product developments and partnerships that have positioned Daloopa as a key player in the evolving landscape of AI in finance. Recent enhancements include programmatic access via API and cloud-native delivery options, which allow clients to seamlessly incorporate Daloopa's data into their existing workflows. The company has reported a doubling of revenue over the past year, reflecting strong demand for its offerings and a growing recognition of the importance of data infrastructure in AI applications.
The broader implications of this funding round signal a critical shift in the financial services sector, where the focus is increasingly on establishing robust data foundations to support AI-driven decision-making. As investment firms seek to operationalize AI in their workflows, those equipped with reliable data infrastructures, like Daloopa, are likely to gain a competitive edge. The ongoing evolution of AI in finance underscores the necessity for high-quality data solutions, making Daloopa's advancements particularly timely and relevant for the industry.
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